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Improvements in seismic event locations in a deep western U.S. coal mine using tomographic velocity models and an evolutionary search algorithm.

Authors
Lurka-A; Swanson-P
Source
Min Sci Technol (China) 2009 Sep; 19(5):599-603
NIOSHTIC No.
20036297
Abstract
Methods of improving seismic event locations were investigated as part of a research study aimed at reducing ground control safety hazards. Seismic event waveforms collected with a 23-station three-dimensional sensor array during longwall coal mining provide the data set used in the analyses. A spatially variable seismic velocity model is constructed using seismic event sources in a passive tomographic method. The resulting three-dimensional velocity model is used to relocate seismic event positions. An evolutionary optimization algorithm is implemented and used in both the velocity model development and in seeking improved event location solutions. Results obtained using the different velocity models are compared. The combination of the tomographic velocity model development and evolutionary search algorithm provides improvement to the event locations.
Keywords
Longwall-mining; Ground-control; Ground-stability; Rock-falls; Rock-mechanics; Mathematical-models; Coal-mining; Statistical-analysis; Author Keywords: seismic event location; tomographic velocity model; an evolutionary search; algorithm
Publication Date
20090901
Document Type
Journal Article
Email Address
alurka@gig.edu
Fiscal Year
2009
NTIS Accession No.
NTIS Price
Issue of Publication
5
ISSN
1674-5264
NIOSH Division
SRL
Priority Area
Mining
Source Name
Mining Science and Technology (China)
State
WA
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